10 citations · 15 across the 8 of their papers we have counts for
4 papers · 1 filter
Diversified Multi-prototype Representation for Semi-supervised Segmentation
Jizong Peng, Christian Desrosiers, Marco Pedersoli
This work considers semi-supervised segmentation as a dense prediction problem based on prototype vector correlation and proposes a simple way to represent each segmentation class…
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng, Ping Wang, Chrisitian Desrosiers +1
Pre-training a recognition model with contrastive learning on a large dataset of unlabeled data has shown great potential to boost the performance of a downstream task, e.g., image…
Context-aware virtual adversarial training for anatomically-plausible segmentation
Ping Wang, Jizong Peng, Marco Pedersoli +3
Despite their outstanding accuracy, semi-supervised segmentation methods based on deep neural networks can still yield predictions that are considered anatomically impossible by cl…
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization
Jizong Peng, Marco Pedersoli, Christian Desrosiers
The scarcity of labeled data often impedes the application of deep learning to the segmentation of medical images. Semi-supervised learning seeks to overcome this limitation by exp…